calib_scripts/plot_calib.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Scripts for Calibration of Cernox Sensors\n",
    "---------------------------------------\n",
    "\n",
    "Make a copy of this notebook for an other run.\n",
    "\n",
    "See also http://samenv.psi.ch:8080/sample_environment/83"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import math\n",
    "from scipy.interpolate import splrep, splev\n",
    "from zcalib import read_curve, convert_res, compare_calib, make_calib, logrange, Sensor, CalibRun, nplog, npexp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('lsdat', 'READ /afs/psi.ch/project/SampleEnvironment/SE_internal/Thermometer_calibs/2012/73027 Cernox 5/X75610.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c1.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c1.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c1.dat')\n",
      "{'selected': 0, 'averaged': 62}\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c2.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c2.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c2.dat')\n",
      "{'selected': 1, 'averaged': 61}\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c4.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c4.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c4.dat')\n",
      "{'selected': 0, 'averaged': 62}\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c5.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c5.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c5.dat')\n",
      "{'selected': 2, 'averaged': 60}\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c6.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c6.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c6.dat')\n",
      "{'selected': 0, 'averaged': 62}\n"
     ]
    }
   ],
   "source": [
    "run = CalibRun([\n",
    "        Sensor(3, 'X75610'), # the reference sensor must be the first\n",
    "        Sensor(1, 'X161269', 'CX-1050-CU-HT-1.4M'),\n",
    "        Sensor(2, 'X163059', 'CX-1050-CU-HT'),\n",
    "        Sensor(4, 'X163060', 'CX-1050-CU-HT'),\n",
    "        Sensor(5, 'X163061', 'CX-1050-CU-HT'),\n",
    "        Sensor(6, 'X163062', 'CX-1050-CU-HT'),\n",
    "    ],\n",
    "    #t_points = (1.0, 1.2) + logrange(1.4, 310, n=194) + (330,),  # the points to be used in the cal file\n",
    "    t_points = (1.38, 1.42, 1.51) + logrange(1.55, 288, n=57) + (302,310),  # the points to be used in the cal file\n",
    "    caldate = '2021-04-30',  # the first measuring day!\n",
    "    logT = False,\n",
    "    logR = True,\n",
    "    calib_data_file = '/home/l_samenv/sea/calib_scripts/calib_data/calib%s_p%d_c%d.dat',\n",
    "    outputpath='%s/%s.340')\n",
    "# smooth depends on number of measured points (1e-7 for 60, 0.8e-7 for 48 and 0.4e-7 for 24 points)\n",
    "run.make(diflim=0.001, smoothref=1e-7, smoothtst=0.4e-7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('z340', 'READ /home/l_samenv/sea/tcl/calcurves/X161269.340')\n",
      "('z340', 'READ 2021-05-04/X161269.340')\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmcAAAFvCAYAAAAPCWzhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAHW9JREFUeJzt3X+Q1WXd//HnW1bYptQtf5RflmTrRgRERFZMb3E2FcIft5o6Cl9qGmR0tKzRJorG8jvZNNaok5EUwq1iM92a2bekxNDKTWx0hrUsURRJuWPJ+0ugWGr+wN7fP9i2ZWWFXc7Zc+3yfMyc2f1c5/pc13vP7mf2NdfnnM8nMhNJkiSVYa9aFyBJkqR/MZxJkiQVxHAmSZJUEMOZJElSQQxnkiRJBTGcSZIkFcRwJkmSVBDDmSRJUkHqal3AP0XEO4HvAK8DrZn5/RqXJEmS1O+qunIWETdHxMaIWNWtfXpEPBURayNiXkfz2cCdmXkhcEY165IkSSpVtU9rLgGmd22IiCHAAuAUYCwwMyLGAo3A+o5ub1a5LkmSpCJVNZxl5gPA892aJwNrM/OZzHwduB04E2hnW0Crel2SJEmlqsV7zobzrxUy2BbKjgHmAzdExGnAT3vaOSIuAuYCDUOHDj1g5MiRVSxVkiSpMtasWbMpMw/cWb9iPhCQmS8Ds3eh3yJgEUBzc3O2tbVVuzRJkqTdFhH/vSv9anH6cAMwost2Y0ebJEnSHq8W4WwlMCoimiJiKDADWFqDOiRJkopT7Utp3AY8BIyOiPaImJOZW4FLgeXAauCOzHy8mnVIkiQNFFV9z1lmzuyhfRmwrJpzS5I02L3xxhu0t7fz6quv1roUdVFfX09jYyN77713n/Yv5gMBkiSpd9rb29lnn30YOXIkEVHrcgRkJps3b6a9vZ2mpqY+jeH1xCRJGqBeffVV9t9/f4NZQSKC/ffff7dWMw1nkiQNYAaz8uzu78RwJkmS+mT9+vU0NTXx/PPbbgb0wgsv0NTUxLp165g+fToNDQ2cfvrp2+2TmVxxxRUceuihjBkzhvnz5wPw5JNPcuyxxzJs2DCuvfba7eb48Ic/zNixYxk3bhzf+ta3thvv29/+Nocddhjjxo3j85//PACvv/46s2fPZvz48UyYMIHW1tYd1v/lL3+ZI444giOPPJJp06bx5z//ebvnV65cSV1dHXfeeWdn26233sqoUaMYNWoUt956a99euJ3wPWeSJKlPRowYwSWXXMK8efNYtGgR8+bN46KLLmLkyJHMnTuXV155hRtvvHG7fZYsWcL69et58skn2Wuvvdi4cSMA73nPe5g/fz4/+clPtutfV1fHddddx1FHHcXf/vY3Jk2axNSpUxk7diz3338/d911F7///e8ZNmxY51iLFy8G4LHHHmPjxo2ccsoprFy5kr322n5Nau7cuXz1q18FYP78+Vx11VUsXLgQgDfffJMvfOELTJs2rbP/888/z1e+8hXa2tqICCZNmsQZZ5zBu9/97gq+qq6cSZKk3XD55Zfz8MMPc/311/Pggw/yuc99DoCTTjqJffbZ5y39v/vd73LllVd2BqWDDjqo8+vRRx/9lk84HnzwwRx11FEA7LPPPowZM4YNGzZ0jjVv3jyGDRu23VhPPPEEJ554YmdbQ0MDO7qj0L777tv5/csvv7zd6chvf/vbnHPOOZ1jAixfvpypU6fynve8h3e/+91MnTqVn//85715uXaJK2eSJA0CX/np4zzx579WdMyx/2tf/s9/jHvbPnvvvTfXXHMN06dP5957793p5SP++Mc/8oMf/IAf//jHHHjggcyfP59Ro0btUj3r1q3jd7/7HccccwwAa9asYcWKFVxxxRXU19dz7bXXcvTRRzNhwgSWLl3KzJkzWb9+PY888gjr169n8uTJbxnziiuu4Hvf+x777bcf999/PwAbNmzgxz/+Mffffz8rV67s7LthwwZGjPjXTY4aGxs7g2IluXImSZJ2yz333MPBBx/MqlWrdtr3tddeo76+nra2Ni688EIuuOCCXZrjpZde4pxzzuH666/vXPHaunUrzz//PA8//DDXXHMN5513HpnJBRdcQGNjI83NzVx22WUcd9xxDBkyZIfjfu1rX2P9+vXMmjWLG264AYDLLruMb3zjG285DdpfXDmTJGkQ2NkKV7U8+uij3HfffTz88MMcf/zxzJgxg4MPPrjH/o2NjZx99tkAfPSjH2X27Nk7neONN97gnHPOYdasWZ37dh0rIpg8eTJ77bUXmzZt4sADD+Sb3/xmZ7/jjjuOQw899G3nmDVrFqeeemrne8pmzJgBwKZNm1i2bBl1dXUMHz58uw8XtLe309LSstP6e8uVM0mS1CeZySWXXML111/P+9//fubOndv5nrOenHXWWZ2nD3/961/vNDRlJnPmzGHMmDF89rOf7XGsNWvW8Prrr3PAAQfwyiuv8PLLLwNw3333UVdXx9ixY98y9tNPP935/V133cVhhx0GwLPPPsu6detYt24d5557Lt/5znc466yz+MhHPsK9997LCy+8wAsvvMC9997LRz7ykZ28Sn2QmQP2MWnSpJQkaU/1xBNP1HT+G2+8Mc8777zO7a1bt+bEiROztbU1jz/++DzggAOyvr4+hw8fnj//+c8zM/OFF17IU089NQ8//PD80Ic+lI8++mhmZj733HM5fPjw3GeffXK//fbL4cOH54svvpgrVqxIIMePH58TJkzICRMm5N13352Zma+99lrOmjUrx40blxMnTsxf/vKXmZn57LPP5qGHHpqHHXZYnnTSSblu3brOGufMmZMrV67MzMyzzz47x40bl+PHj8/TTz8929vb3/IzfuITn8gf/vCHnds33XRTfvCDH8wPfvCDefPNN/f42uzodwO05S7km9jWd2Bqbm7OHX36QpKkPcHq1asZM2ZMrcvQDuzodxMRj2Rm88729bSmJElSQQxnkiRJBTGcSZIkFcRwJkmSVBDDmSRJUkEMZ5IkSQUxnEmSpKo49dRT2bJlyy73X7duHYcffngVKxoYvH2TJEmqimXLltW6hAHJlTNJktQn11xzDfPnzwfg8ssv58QTTwTgV7/6FbNmzWLkyJFs2rSJdevWMWbMGC688ELGjRvHtGnT+Pvf/w7AI488woQJE5gwYQILFizoHPvVV19l9uzZjB8/nokTJ3bepum0007jD3/4AwATJ07kqquuAuDKK69k8eLF/fazV5MrZ5IkDQb3zIP/eayyY75vPJzy9R6fnjJlCtdddx2f+cxnaGtr47XXXuONN95gxYoVnHDCCfzmN7/p7Pv0009z2223sXjxYs477zx+9KMf8bGPfYzZs2dzww03cMIJJzB37tzO/gsWLCAieOyxx3jyySeZNm0aa9asYcqUKaxYsYJDDjmEurq6zjlWrFjBwoULK/vz14grZ5IkqU8mTZrEI488wl//+leGDRvGscceS1tbGytWrGDKlCnb9W1qauLII4/s3G/dunVs2bKFLVu2cMIJJwDw8Y9/vLP/gw8+yMc+9jEADjvsMA455JDOcPbAAw/wm9/8htNOO42XXnqJV155hWeffZbRo0f3009eXa6cSZI0GLzNCle17L333jQ1NbFkyRKOO+44jjjiCO6//37Wrl37lvtKDhs2rPP7IUOGdJ7W7K2jjz6atrY2PvCBDzB16lQ2bdrE4sWLmTRp0m79LCVx5UySJPXZlClTuPbaaznhhBOYMmUKCxcuZOLEiUTETvdtaGigoaGBBx98EIDvf//72437z+01a9bwpz/9idGjRzN06FBGjBjBD3/4Q4499tjt5h8sDGeSJKnPpkyZwnPPPcexxx7Le9/7Xurr699ySvPt3HLLLXzqU5/iyCOPJDM72z/5yU/yj3/8g/Hjx3P++eezZMmSztW3KVOmcNBBB/GOd7yDKVOm0N7e3qs5SxddX4iBprm5Odva2mpdhiRJNbF69eq3nD5UGXb0u4mIRzKzeWf7unImSZJUEMOZJElSQQxnkiRJBSkqnEXEByLipoi4s9a1SJI0EAz
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compare known sensors\n",
    "if True:  # set to True when known sensors are measured\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    tmin,tmax,dmax=1.4,310,0.001\n",
    "    testlist = [('X161269', 'z340')]\n",
    "    for sensno, kind in testlist:\n",
    "        r0, t0 = read_curve('/home/l_samenv/sea/tcl/calcurves/%s.340' % sensno, 'z340')\n",
    "        r1, t1 = read_curve('2021-05-04/%s.340' % sensno, kind)\n",
    "        diff = compare_calib(r1, t1, r0, t0)\n",
    "        plt.plot(t0, diff, '-')\n",
    "    plt.plot([tmin,tmax,tmax,tmin,tmin], [-dmax,-dmax,dmax,dmax,-dmax], '-')\n",
    "    plt.legend([sensno + \".\" + kind[-3:] for sensno, kind in testlist] + [\"window\"])\n",
    "    plt.xscale('log')\n",
    "    plt.yscale('symlog',linthreshy=dmax)\n",
    "    plt.grid(True, axis='y')\n",
    "    plt.axis([1.0,350,-1,1])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('z340', 'READ 2021-04-30/X161269.340')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c1.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c1.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c1.dat')\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('z340', 'READ 2021-04-30/X163059.340')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c2.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c2.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c2.dat')\n"
     ]
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('z340', 'READ 2021-04-30/X163060.340')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c4.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c4.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c4.dat')\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('z340', 'READ 2021-04-30/X163061.340')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c5.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c5.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c5.dat')\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('z340', 'READ 2021-04-30/X163062.340')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c6.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c6.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c6.dat')\n"
     ]
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compare calibration files from points 0,1,2\n",
    "# with the optimized (average or selection of best)\n",
    "\n",
    "for sensor in run.sensors:\n",
    "    r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n",
    "    plt.figure()\n",
    "    dif = [0,0,0]\n",
    "    for j in range(3):\n",
    "        rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n",
    "        rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n",
    "        dif[j] = compare_calib(r0, t0, rc, tc)\n",
    "        plt.plot(t0, dif[j], '-')\n",
    "    plt.xscale('log')\n",
    "    plt.yscale('symlog', linthreshy=0.001)\n",
    "    plt.grid(True, axis='y')\n",
    "    plt.axis([min(t0),max(t0),-1,1])\n",
    "    # plt.axis([240,330,-1,1])\n",
    "\n",
    "    # plt.legend(['dif1','dif2','dif3','est'])\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('z340', 'READ 2021-04-30/X161269.340')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c1.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c1.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c1.dat')\n"
     ]
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('z340', 'READ 2021-04-30/X163059.340')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c2.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c2.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c2.dat')\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('z340', 'READ 2021-04-30/X163060.340')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c4.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c4.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c4.dat')\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEACAYAAAC9Gb03AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAHaBJREFUeJzt3Xl4lOXZ9/HvOZOETRKlKMoWVouIooigBjS4AVXAtlTRtzyHiqKt+tA+to9b+9hW+4qtS7Gl9aVKeUpbUbFKUDGAgkAQZAv7IgXZZCkgISyBzMz1/pGAkwEk2+Seuef3OQ7/mCUzp4dznN7H7zrv6zLnHCIi4l8BrwsQEZH4UqMXEfE5NXoREZ9ToxcR8Tk1ehERn1OjFxHxOTV6ERGfU6MXEfE5NXoREZ9ToxcR8bk0rwsAaNq0qWvTpo3XZYiIJJVFixbtds6dfbr3JUSjb9OmDQsXLvS6DBGRpGJmmyrzPkU3IiI+p0YvIuJzavQiIj6nRi8i4nNxafRm1sjMFprZzfH4fBERqbxKNXozG2tmu8xsRczz/cxsrZmtN7NHo156BHijNgs9mQ3jRzHj/sFsGD8q3l8lIpK0KntFPw7oF/2EmQWB0UB/oDNwu5l1NrMbgFXArlqs8wQbxo9iUl4+i/eWMCkvX81eROQUKtXonXOzgL0xT/cA1jvnNjjnjgITgEFALnAFcAdwr5nFJR7aVDCbiAXAIGIBNhXMjsfXiIgkvZrcMNUC2BL1eCvQ0zn3IICZ3Qnsds5FTvbHZjYcGA7QrFkzZs6cWaUvD7TMJrBnNRELghnb9x7g46cfxvUaUPV/ExERH4vbnbHOuXGneX0MMAage/fuLjc3t2pfkJtLq/GjmPv+R+yMwHZLY+fS1QzKbk27oSOqWbWIiP/UJFbZBrSKetyy/Lk6027oCFpkpYMLA4pwREROpiaNfgHQ0czamlkGMATIq52yKi87pzcBFwEHWBqfN7ugrksQEUlolR2vfA34BPimmW01s2HOuRDwIJAPrAbecM6trMqXm9kAMxtTVFRU1bqPazd0BIMG9qXLmQ0In9mHfdta8849t2kKR0SknDnnvK6B7t27u9rYvfL9555i9YJFQIhAJMKggX2V14uIb5nZIudc99O9z1dbIDRYvxRcCCjL6+e+/a6u7EUk5fmq0VfM62FnWj3dTCUiKc9Xjf5YXn9O6MjxZh8x0ySOiKQ0Txt9bSzGxmo3dAQ537657MoeA0sj0unSWvt8EZFk42mjd85Nds4Nz8rKqtXPPXZln31GIwKNB1KwuT1f7PmyVr9DRCRZ+Cq6idZu6AgGvzqBjP7ncdahpvz++XcoLQ15XZaISJ3zbaM/5oHvfotdF2yn5d5sfvfTX2lbYxFJOb5v9AC/ePAOioMFBLYv07bGIpJyfLcYezLBYJBuoaVASJM4IpJyfLkYezIdevUmECmfubQ0jnTsGvfvFBFJBCkR3cCxSZwbyT6jIYHMm1m0uRNrttTpZpsiIp5ImUYPxyZxXqfp4PM542gm/xg1g91FxV6XJSISVynV6I8Z2vcaSnMOcc6Bc/nz47/nw/s0iSMi/pWSjR7gJ9//NkcaziRj96cUfqlJHBHxr5SYujmVSw6uKdvtUgeMi4iPpczUzcm07VXxdKoVWZ08qUNEJJ5SNrqBr/bEufis+pQ2uRKKcnnhH5O8LktEpFb56oSpmtj55T7++PR7NDnUlEbfCnDPgBs8rUdE5HRS8oSpmmh21pkMffha9tffx4FJW3jt7tu1OCsivqBGH6VD8/O4uu0GwsWT+OLgASblTVWzF5Gkp0YfI7JqUfm5s45IIMCSmXO9LklEpEZSerzyZMrOnXXgHBDg80Af5ixf43VZIiLVltLjlSdzbBKnW5MGtLu0G2S0ZPafVzJv9WdelyYiUi2aujmNN2YUsHViEZHSjXR0H3PR1Tm0GzrC67JERDR1U1tu7ZND8/M+xYqmsX7/IS3QikjSUaOvhGZbV5Qv0EIkEGD5rAKPKxIRqTw1+kooW6CNlC/QBvnMrmH+mvVelyUiUilq9JUQvUDb4qKuBNLb8tGfljJ35VqvSxMROS0txlbDax/OYfs/izgaPEK3NqtJX7eE7JzeWqQVkTqVFIuxiThHXxm3X9eL7FubUO/QHpbP/5TFew9rP3sRSViao6+m715zJc3dR0AEzIiYaT97EUlIyuhr4PLcKwhEIoCBpbOj5YVelyQicgI1+hooW6S9kfaNGxLJup6dX1zJHya+73VZIiIVaDG2lqz4fAtvvTSHsw43Jf3Mj+n05Rot0IpIXCXFYqyfdGnTijsfuZ7DbimHNqxg8V4dOC4iiUGNvhZlNzubSyLzKxw4vnGOFmhFxFtq9LWsY+9eFQ4cX5B2CfsPHva6LBFJYWleF+A37YaOYBCwcc5sChtdQONDV/GbX77JLe13ULzkU+X2IlLntBgbZ8+MfZOGcw8TKn4LXIiAcwwa2FfNXkRqTIuxCeKxu7/HWeF8dGOViHhFWyDUgV7X9qhwY9VnTS/wuiQRSSHaAqEOHLuxqmNmA0JnXU3p7j488cJfCYfDXpcmIilAGX0d211UzHO/nUir3dkUBwu4LLSU9r20QCsiVaeMPkE1zWrMr3/5HxxqMJP03YtYtq9ExxOKSFyp0XsgGAzS/fCqCscTzpsxz+OqRMSv1Og9UvF4wgC7An359StveF2WiPiQbpjyyLEbqzYVzKbBRd15d1OA8xY25dllv6DbkRXK7UWk1mgxNkEcKjnC7x95hrQdhUCIQMQxaOCNavYickpajE0yDevXo8eRFRVy+7kz5ntclYj4gRp9AonN7fcE+vHEi5q3F5GaUUafQKJz+8xLezBxc5iWa7P5zUO/oWtoCZ165yjKEZEqU0afwMLhMC/995NEtq5Aub2IxFJG7wPBYJBLDq4BVwqU5fb505dRWhryuDIRSSZq9AmuLLd34BzmjFB6H578+d9YvXmr16WJSJJQRp/gonP7Vlf0YvzBAOeuaM77T73LwtBscq7toShHRL6WMvok9PbIX7BhyRIggjno168Pne/+L6/LEpE6lhQZfarsR1/bzvz82Ly9wxnkf7yLaQuXel2WiCQo7UefhCrk9hEH6e1ZOXY7v3z5NdaP+x0z7h+s3TBF5Dhl9EkoOrfPzunNlz2v4+1X5tBsYYBJ+z8CwhTm5TOo/L0iktqU0ftEaWmIV+65j0MluwAHDro1qU+flyd6XZqIxElSZPRSe9LT0+h7/cXlZ9MClsa8YFc27tjlbWEi4jlFNz5yLNL515zZFDbozBklV/DGrwto9o3FZO9YTXaOtj4WSUWKbnzsjRkFbJqwmMC+D8GFCLgIgwb2VbMX8QlFN8KtfXLoyqyyUUyDSCDIrI8WeF2WiNQxNXqf69CrV4Wtj4uD/Xjkf8Yy/4/PagxTJEUoo/e56FHMcy6/gr/tDtH8szTmrJ0LTmOYIqlAGX0KmjBsCNsOHCh74KB9ZkNu0cHkIklHGb2cUo/cK8vGMB1gaXxOP37+0t9YO+5FxTkiPqToJgVFxzmh8y9h5s4g5y6Dd4tnggspzhHxGUU3Qjgc5i/D7qLo8Jccu6u285kN6D/mTa9LE5GvoehGKi0YDHLtdZcRiISPxzmr3PWMHPeWDiYX8QFFNwJUjHN2t+7Cqt2NaTrvLH4773k6lC6iW+5VinJEkpSiGzmpkqOlvPzELwlvXs6xA05yr7uabvf91OvSRKScohupkfoZ6XQtXlPhgJNZcw/yzF8mKs4RSTJq9HJK0QecBCIRjjTIJHN+E5574HdMGHa7xjBFkoQavZxSu6EjGDSwL92aNGDQwBv5r9//J5Gsj0j7chbbDhzgnckfUjD6Ga/LFJHT0GKsfK12Q0dUWITtUrSGxS4EZjiDBZ+GmFL6V35y73c5s1EjDysVkVNRo5cqyc7pTWFePhEg4BwlDdM5b01L/vj4FJpmFtJ+1xra9tK+9yKJpNajGzO7wMxeNrOJZvaD2v588VZsnPPonx7FbjxKeskXFK9bQeG+EiblTVV+L5JAKjV
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('z340', 'READ 2021-04-30/X163061.340')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c5.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c5.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c5.dat')\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEACAYAAAC9Gb03AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi40LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcv7US4rQAAHfpJREFUeJzt3Xt41PW17/H3mklCIIRQCkZBQCDiDUQQkULQqHirDegu3ujmeCuXs7cttqenxW53625Pu09tj4/XVjmtusUW6xUSRCHcI4JyaQggxAAKBATkFsIlkpn57j8SYBJBEnL5zfzm83oe/8gvM5PVx3H1+6y1futnzjlERMS/Al4HICIizUuJXkTE55ToRUR8ToleRMTnlOhFRHxOiV5ExOeU6EVEfE6JXkTE55ToRUR8ToleRMTnkrwOAKBjx47uvPPO8zoMEZG4smLFit3OuU6ne52nid7McoHcrKwsli9f7mUoIiJxx8w21+d1npZunHP5zrlxGRkZXoYhIuJrqtGLiPicEr2IiM95mujNLNfMJpeXl3sZhoiIr6lGLyLic3Fdutk05UnmTxjFpilPeh2KiEjMiok5+jOxacqTTM+bRcQCFOXNYiTQc8xEr8MSEYk5cXui37y4kIgFwCBixubFhV6HJCISk+K2Gdt96DACLgIYWJB9Bw6phCMichJx24ztOWYiI0fcyDcCKYDxaSjI9LxZSvYiInXEbekGqpN9jwwDF1YJR0TkFOI60UPdEk4SHS4f7HVIIiIxJe4T/bESzllt2pGSfjt/+7yD1yGJiMSUuG3GRus5ZiJjXvwrZd2Pcu6WFF6+73uq1YuI1IjbZuzJfO+cfRyteJ0vDh9QY1ZEpEbcl26i7Vm+BFwIcEQswOK385XsRSTh+SrRVzdmHTjAYFdSqk72IpLwfJXojzdmQ19WX9DIpYiIvxI9VCf7obd9h0Ck5lhvSZx1hUYuRSRx+S7Rw7GT/Q10aJNBSvrtvLxdI5cikrh8MV55Mj3HTOS+F1+hrPtRum07jyem5jX53xARiQe+Gq88mYd/fCe72+wg/H6AD9dvaLa/IyISq3xZuonWPi2NYWP6EnBBFjwxnYLxelCJiCQW3yd6gGv79yU1YzFJ+wop3lepkUsRSSgJkegBLty3vvpmKoOIBTRyKSIJI2ES/Yktl4AlcSSrn7cBiYi0kIRJ9MdupuqZ3oZAu1tYsa032/fs8zosEZFmlzCJHqqT/W1/fo3Wt3Sl/ZFv8tTj0wiHw16HJSLSrHw7R/91Jtx6Ezt6b6Prnu48+szfWvRvi4i0NN/P0Z/Kryb+M2UdNtNxtWPKfaM1hSMivpVQpZtowWCQUd2/IFTxJrsOVzA9b7aSvYj4UsImeoAD//joxP76QIBPCt/3OiQRkSaX0Im+1v56ghQlXU7l0SqvwxIRaVIJneiPjVwO6JBKsFsf0iODePQPr3gdlohIkzLnnNcxMHDgQLd8+XKvw+Bnv3qBbtvPY9/lu3lk7B1ehyMi8rXMbIVzbuDpXpfQJ/q6/v2nd/N5uzLSPzzCK/drEkdE/EGJPkrb1NaM6LGDUMVb7DykSRwR8Qcl+joOrao9ibN20WKvQxIRaRQl+jpOTOI4IMjHwcF8sb9l79wVEWlKSvR1nJjEaU167z6kcSmP/+5tjV2KSNzydOrGzHKB3KysrLGlpaWexfF1fvns3zhr9dls6fwZv/23ewgGg16HJCICxMnUjZe7burrP/51NFu6f8a5W1J4/v7xas6KSNxR6aYevn9OOVUHXuNI5U6m5Rco2YtIXFGir4eypYtxhAGHM2PBPO9v7hIRqS8l+nqoPYljVASH8/y02V6HJSJSL0r09RA9iTMsJ5sD6a04MjvM1AI9YFxEYp923ZyBoo2fMfOp5bQKpZLVbSXtPi2m+9Bh9Bwz0evQRCSBxMXUTby6rNd5XPX9PnC0jA0rV7By7xGm581Sk1ZEYpIS/RnK7nsh3SILgAiYETFj82KVckQk9ijRN8LlOd8iEIkABpZEuHd/r0MSEfkKJfpGqG7S3kCXtm0JpOey7LML+WBtiddhiYjUomZsE3l9wQdsfX0fXyZVMqhHCYH1K9WgFZFmpWZsC7s9Zwidv9ue1EP7KVryoRq0IhIzlOib0F3XDiUzMgc1aEUklijRN7HB1wyu1aA93OtSr0MSkQSnRN/EjjVoz22bhrW7hXWbL2P64mVehyUiCaxZmrFmlgYsBB51zs043ev90Iw9mTkrilnxXxtJCifTtfNyOm1dowatiDSZJm3GmtkLZrbLzNbUuX6TmZWY2QYzmxT1q58BrzUsZP8ZfvmlZI+7CFe1ma3FRazcW6kGrYi0uPqWbl4Cboq+YGZB4FngZuBi4G4zu9jMrgc+BnY1YZxxa2ifCzk/sggIgUHEAmrQikiLqleid84tAvbWuTwI2OCc2+ScOwq8CowEcoDBwGhgrJklfB+g79VDahq0gCWxut2F3gYkIgklqRHv7QJsjfq5DLjSOfcggJndC+x2zkVO9mYzGweMA8jMzGTBggWNCCXGde3HgH5b2PfJJ6xrM5jUA4P40a+f4ztDehMMJvz/D4pIM2tMov9azrmXTvP7ycBkqG7G5uTkNFcosaHmf9/wyiP8+rdTydrWm2XTChl4dDU9s9WgFZHm05jj5Daga9TP59Zck6/RNrU1v/3lPRxstZDkXf9g1T41aEWkeTUm0S8DzjezHmaWAtwF5DXkA8ws18wml5eXNyKM+BMMBhn05VpwNQ3aQIA1ixZ7HZaI+FR9xyunAkuAC8yszMwecM6FgAeBWcA64DXn3NqG/HHnXL5zblxGRkZD44571c+hjYADSKLUruGdpSu8DktEfEjbKz20acqTbF5cyJ7ufdi0vT9JkWS+2Wkp3XZ8rBurROS06nvDlBJ9jFi6rpRFT8wkuH8+uBABF2HkiBuV7EXklOJiTXGi1uhPZvBF59PXvX+ibm8BNr6vG6tEpPE8TfSJXKM/mQuGZZ+o21sSK2wQn5Rt9zosEYlzulsnhlRvvryRAR1SadWjD62tH2/+fgl5HyR2WUtEGkc1+hg2taCQrXl7SDmyj3bheeRcO1A1exE5TjV6H7j7+mEM7r2OcMU09h3ez7T8Oax/8XGvwxKROKMafYwLr11R3aDF4QzeW7CdNZ9tPe37RESOUY0+xlXfWOXAOcw5SL6Ed/7fcv5asMjr0EQkTijRx7gTDdrW3Jp7Pd3uuZhIIMzuv3/Kc/fcz4aXnvA6RBGJcZ42Y80sF8jNysoaW1pa6lkc8eajPz1G4fz3wRzmjKuuy2bg+J96HZaItLC4aMaqRn9mDq36CAhTXbd3FH5QwWvztRRNRE5OpZs4FF23D0QiRFp1Ycdrh/jF06+w4aUnmD9hlNYei8hxzfbgEWk+PcdMZCSweXEh3YcOI3TNCF56djbnrEoi78A8HGGK8mYxsua1IpLYdMOUT4TDYSbfP47DlbsABw4GdEjlmufe8Do0EWkmcVGjl6YTDAa5cfilNQ8hN7AkPmp1CQcOHfE6NBHxmKZufGbTlCf5pLCQolaXkl6Vze42O7ii80Zab1ilHfciPqN99MITU/Nw83YSOfCOdtyL+JBKN8JDd4+gJwW1dtwXL9QYpkiiUaL3ub5XDa214/4zbuQ3f36NcDjsdWgi0kI0Xulz0aOYVb37U/h5Cmcv78hjKx/jkqp/0OeqoSrliPicavQJpqoqxDOTHiVStgYIY84x4tvDybr3Ia9DE5EGiosavfbRt7zk5CQuO7QeXBXVKxSMGfO2snSdpp5E/Eq7bhJQ7dXHQEofljy9gSf+9yPMHa/1CSJ+oxp9Aqq7QuHz/t+i8Nk8kresoYgQxXmztT5BxEeU6BNUzzETjyfynkBl5BGKjo1hBgLMnLOWu0ZU0DEj3dtARaTRlOgFgB7ZwyjOm0UEwwjgkq9i8i9m0eUbxXTb8bHuqhWJY0r0Any1nDM3I5MvZ3zC7h3F7HYhilTOEYlbGq+UU5o9/nZW7zsCBmCkpXbifzz/J9qktvI6NBGh/uOVOtHLKWV
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('z340', 'READ 2021-04-30/X163062.340')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p0_c6.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p1_c6.dat')\n",
      "('zdat', 'READ /home/l_samenv/sea/calib_scripts/calib_data/calib2021-04-30_p2_c6.dat')\n"
     ]
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for sensor in run.sensors:\n",
    "        r0, t0 = read_curve(sensor.outputpath, sensor.outputkind)\n",
    "        plt.figure()\n",
    "        dif = [0,0,0]\n",
    "        for j in range(3):\n",
    "            rr, rt = read_curve(sensor.caldat_file[j], 'zdat')\n",
    "            rc, tc = make_calib(run.rref, run.tref, rr, rt, run.t_points)\n",
    "            plt.plot(t0, r0, '-')\n",
    "            plt.plot(tc, rc, '.')\n",
    "        plt.xscale('log')\n",
    "        plt.yscale('log')\n",
    "        plt.grid(True, axis='y')\n",
    "        # plt.axis([min(t0),max(t0),-1,1])\n",
    "        # plt.axis([240,330,-1,1])\n",
    "\n",
    "        # plt.legend(['dif1','dif2','dif3','est'])\n",
    "        plt.show()\n",
    "\n",
    "  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2.7",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}